Undergraduate | Programme Specifications

Programme summary

Awarding body/institution	天堂视频
Teaching institution (if different)
Owning school/department	Department of Computer Science
Details of accreditation by a professional/statutory body	British Computer Society (BCS) gives full or partial accreditation for all programmes The Tech Partnership – Information Technology Management for Business
Final award	See Programme Structure
Programme title	Computer Science Computing and Management Computer Science and Artificial Intelligence Information Technology Management for Business Computer Science and Mathematics
Programme code	COUB01 Computer Science (CS) BSc COUM01 Computer Science (CS) MSci COUB02 Computing and Management (CM) BSc COUM02 Computing and Management (CM) MSci COUB04 Computer Science and Artificial Intelligence (CSAI) BSc COUM04 Computer Science and Artificial Intelligence (CSAI) MSci COUB06 Information Technology Management for Business (ITMB) BSc COUM06 Information Technology Management for Business (ITMB) MSci COUB08 Computer Science and Mathematics (CSM) BSc COUM08 Computer Science and Mathematics (CSM) MSci
Length of programme	BSc - 3 years BSc with placement - 4 years MSci - 4 years MSci with placement - 5 years
UCAS code	See Programme Structure
Admissions criteria	Computer Science MSci DPS/DInts - / MSci - BSc DPS/DInts - / BSc - Computer Science and Artificial Intelligence MSci DPS/DInts - / MSci - / BSc DPS/DInts - / BSc - Computer Science and Mathematics MSci DPS/DInts - / MSci - / BSc DPS/DInts - / BSc - Computing and Management MSci DPS/DInts - / MSci - / BSc DPS/DInts - / BSc - Information Technology Management for Business MSci DPS/DInts - / MSci - / BSc DPS/DInts - / BSc DPS -
Date at which the programme specification was published	Mon, 03 Aug 2020 21:06:09 BST

1. Programme Aims

Aims	CS	CM	CSAI	ITMB	CSM
To give students the knowledge and skills needed to become effective professionals and managers within the IT industry, or to progress immediately to a masters degree programme or postgraduate research in the computing or information industries	X	X	X	X	X
To inspire students to have interest and enthusiasm for subjects they have chosen to study, and to involve them in an intellectually stimulating and satisfying experience of learning and studying.	X	X	X	X	X
To develop knowledge, understanding and skills in information technology and business.	X	X	X	X	X
To provide students with selected specialised areas of study in information technology.	X	X	X	X	X
To provide students with selected specialised areas of study in business.		X		X
To provide students with selected specialised areas of study in information management.
To provide students with selected specialised areas of study in mathematics.					X
To provide training, through a range of educational activities, to develop a range of transferable skills applicable to employment.	X	X	X	X	X
To give students the knowledge and skills needed to be able to provide computer science solutions to information technology problems.	X	X	X	X	X
To develop specific skills in areas described as artificial intelligence, such as robotics, image processing, multi-agent systems and computer vision.			X
To develop specific skills in the technical, organisational, financial, marketing and planning issues of web development.
To develop specific skills in the technical, organisational, financial, marketing and planning issues of information management.
To provide project, communication and interpersonal skills relevant to industry as specified by the Tech Partnership.				X
(MSci only) To prepare students for their career by both broadening and deepening the skills and abilities learned in the BSc programme within a research and industrial environment.	X	X	X	X	X
(MSci only) To give students the knowledge and skills to undertake research in a specialist area of their course.	X	X	X	X	X

2. Relevant subject benchmark statements and other external reference points used to inform programme outcomes:

QAA Computing Benchmark
The professional requirements of the British Computer Society
The National Framework for Higher Education Qualifications
天堂视频's Learning and Teaching Strategy
The particular specialisms’ of the Department of Computer Science staff and where applicable the School of Business and Economics and the Department of Mathematics
ITMB only: the requirements of the Tech Partnership

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

*On successful completion of this programme, students should be able to demonstrate knowledge and understanding of*:		CS	CM	CSAI	ITMB	CSM
K1	Programme specification, design, implementation, testing, maintenance and evaluation	X	X	X	X	X
K2	Object-oriented programming methods	X		X		X
K3	Computer systems, including computer architectures, operating systems and networks	X	X	X	X
K4	Information systems requirements, modelling, design and use	X	X	X	X	X
K5	Computer Science theory and mathematical methods, including programming and data structures	X		X		X
K6	Software project management and the software development life cycle	X	X	X	X
K7	Computer graphics	X		X
K8	Artificial Intelligence methods, logic and logic programming	X		X		X
K9	Knowledge systems		X		X
K10	Applications of Artificial Intelligence, such as Internet agents, robotics and computer vision			X
K11	Legal, professional, ethical and security issues of computing and information systems	X	X	X	X	X
K12	Web design and web analytics
K13	Industrial methods in IT management				X
K14	The human resource, organisational, financial, marketing, theoretical and strategic aspects of business management		X		X
K15	Mathematical methods, including algebra, calculus, statistics, analysis and quantitative methods, the formation of problems in mathematical form and the application of computers to solve mathematical problems					X
K16	Information Management, including information systems and architectures, the requirements, gathering, analysis, storage, retrieval, evaluation, personalisation and dissemination of information, the role of information for individuals, organisations and society
K17	A range of specialist topics that broaden or deepen the student’s knowledge	X	X	X	X	X
*Additional knowledge and understanding for MSci students:*
K18	Appropriate research techniques applicable to a specialised interest area	X	X	X	X	X
K19	Professionalism and management in a commercial and economic context	X	X	X	X	X

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

*On successful completion of this programme, students should be able to:*		CS	CM	CSAI	ITMB	CSM
C1	Elicit, specify, analyse, model and evaluate requirements for computer-based systems	X	X	X	X
C2	Specify, model, design and plan the implementation of computer-based systems for the solution of real problems	X	X	X	X	X
C3	Evaluate computer-based systems in terms of meeting requirements and other quality, legal and ethical attributes	X	X	X	X	X
C4	Apply theoretical, mathematical and logical methods to specify, analyse, design and evaluate real world problems	X		X		X
C5	Apply the principles of interactive design to analyse, evaluate and design web sites and applications
C6	Analyse business problems from a human resource, organisational, financial, marketing and strategic perspective		X		X
C7	Apply management theory and statistics to design and plan a solution to business problems		X		X
C8	Analyse, plan, design and evaluate solutions for information and knowledge problems, taking into account the effects of individuals, organisations, societies and environment involved
C9	Abstract the essentials of problems and formulate them mathematically, select and apply the appropriate mathematical tools to solve problems, and construct and develop logical mathematical arguments with clear identification of assumptions and conclusions					X
*Additional skills for MSci students:*
C10	Show critical awareness and/or new insights in their chosen specialist area	X	X	X	X	X
C11	Deploy appropriate research techniques to analyse a problem in their chosen specialist area	X	X	X	X	X
C12	Apply professional and management techniques within a commercial and economic context	X	X	X	X	X

b. Subject-specific practical skills:

*On successful completion of this programme, students should be able to:*		CS	CM	CSAI	ITMB	CSM
P1	Build, test, maintain and operate computer-based systems	X	X	X	X	X
P2	Deploy effectively the tools used for the construction, testing and documentation of computer applications	X	X	X	X	X
P3	Deploy configuration management, quality assurance and security principles to backup and manage computer software in a changing environment	X	X	X	X
P4	Construct systems to solve problems using artificial intelligence methods			X
P5	Employ business principles for decision making and the management of projects and processes		X		X
P6	Monitor and evaluate processes and projects to identify and implement change when required		X		X
P7	Use information and communication technologies for the management of information and implementation, testing, maintenance and operation of information services
P8	Develop programs for systems with limited resources such as embedded devices	x		x
*Additional skills for MSci students:*
P9	Apply appropriate research techniques to develop new technologies and/or new insights to investigate and solve real problems	X	X	X	X	X
P10	Apply appropriate techniques to manage IT projects and project teams in a commercial and economic context	X	X	X	X	X

c. Key transferable skills:

*On successful completion of this programme, students should be able to:*	CS	CM	CSAI	ITMB	CSM
Produce well written, concise and well structured reports	X	X	X	X	X
Give oral presentations, arguments and explanations	X	X	X	X	X
Communicate effectively using electronic media to a range of audiences	X	X	X	X	X
Be numerate in the analysis and presentation of cases involving a quantitative dimension	X	X	X	X	X
Work effectively in a team, recognising the different roles and different ways of organising teams	X	X	X	X	X
Manage a project	X	X	X	X	X
Work effectively with clients and other project stakeholders	X	X	X	X
Use effective selling and negotiation techniques		X		X
Present arguments and proposals to business and industry representatives				X
Manage their own learning and development, and appreciate the need for continuing professional development	X	X	X	X	X
Make effective use of general IT facilities	X	X	X	X	X
*Additional skills for MSci students:*
Apply research techniques	X	X	X	X	X
Be creative and innovative	X	X	X	X	X
Manage and evaluate the performance of others	X	X	X	X	X

4. Programme structure

Programme Award:

BSc – all programmes

MSci – all programmes

DPS – additional award available on all programmes if a placement year is taken in professional studies.

DInts - additional award available on all programmes if placement year is taken. (For students undertaking a year of study abroad from 2019/20 onwards)

UCAS Codes:

Course	BSc	BSc with DPS	MSci	MSci with DPS
Computer Science	G400	G401	G402	G403
Computing and Management	GNK2	GN42	GN4F	GNL2
Computer Science and Artificial Intelligence	GG4T	GG47	GG4R	GGK7
Information Technology Management for Business	GN52	GN51	G501	G500
Computer Science and Mathematics	GG4C	GG4D	GGK1	GGL1

Programme Structure:

4.1 Part A

In this table x indicates a compulsory module and o indicates an optional module

Code	Title	Weight	Semester	CS	CM	CSAI	ITMB	CSM
COA107	Logic for Computer Science	10	1	x		x		x
COA108	Functional Programming	10	1	x		x
COA111	Software Engineering 1	10	1	x	x	x	x	x
COA122	Introduction to Programming	10	1	x	x	x	x	x
COA124	Computer Systems	10	1	x	x	x	x
COA220	Mathematics for Computer Science	10	1	x		x
COA105	Introduction to Algorithms	10	2	x		x		x
COA123	Web Programming	20	2	x	x	x	x
COA201	Databases	10	2	x	x	x	x	x
COA202	Embedded Systems Programming	10	2	x		x
COA256	Object-Oriented Programming	10	2	x		x		x
BSA505	Organisational Behaviour	10	1		x		x
BSA525	Introduction to Accounting	10	1		x		x
BSA506	Management of Human Resources	10	2		x		x
BSA526	Accounting for Managers	10	2		x		x
BSA081	Quantitative Methods for Business A	20	1&2		x (†)		x (†)
BSA082	Quantitative Methods for Business B	20	1&2		x (‡)		x (‡)
MAA142	Linear Algebra 1	10	1					x
MAA140	Analysis 1	10	1					x
MAA150	Mathematical Methods 1	10	1					x
MAA241	Linear Algebra 2	10	2					x
MAA242	Geometry and Groups	10	2					x
MAA250	Mathematical Methods 2	10	2					x

(‡) For students without a post GCSE Maths qualifications

(†) For students with a post GCSE Maths qualification

4.2 Part B

In this table x indicates a compulsory module and o indicates an optional module

Code	Title	Weight	Semester	CS	CM	CSAI	ITMB	CSM
COB106	Formal Languages and Theory of Computation	10	1	x		x		x
COB120	Computer Graphics	10	1	x		x		x
COB122	Software Engineering 2	10	1	x	x	x	x
COB231	Operating Systems, Networks and the Internet 1	10	1	x	x	x	x
COB107	AI Methods	20	1+2	x		x		x
COB290	Team Projects	20	1+2	x	x	x	x
COB301	Industry Insight	10	1+2				x
COA256	Object Oriented Programming	10	2		x		x
COB150	Formal Methods	10	2	x		x		x
COB155	Mobile Application Development	10	2	x		x
COB201	Professional Issues in Computing	10	2	x	x	x	x
COB232	Operating Systems, Networks and the Internet 2	10	2	x		x
COB295	Team Project	10	2					x
BSB555	Organisational Studies	10	1		x
BSB560	Principles of Marketing	10	1		x		x
BSB572	Management Science Methods	10	1		x		x
BSB550	Company Finance	10	2		x		x
BSB562	The Marketing Mix	10	2		x		x
BSB580	Operations Management	10	2		x		x
MAB151	Mathematical Methods 3	10	1					x
MAA270	Introduction to Probability and Statistics	10	1					x
MAB360	Numerical Methods	20	1+2					x
MAA243	Analysis 2	10	2					x
MAB250	ODE's and Calculus of Variations	10	2					x

4.3 Part I

Candidates on degree programmes with a placement take a year in industry (DPS), or undertake study abroad for a year* (DInts), between Parts B and C or alternatively, for MSci candidates with permission from the Director of Studies, between Parts C and D. This year leads to the award of Diploma of Professional Studies (DPS) or a Diploma in International Studies (DInts).

*Available to students who take a Placement from 2019/20 Academic Year onwards.

4.4 Part C

In the tables below X indicates a compulsory module and o indicates an optional module.

4.4.1 Project Modules:

All candidates must take one project module according to the table below:

Code	Title	Weight	Semester	CS	CM	CSAI	ITMB	CSM
COC251	Computer Science Project	40	1+2	x
COC252	Computing Project	40	1+2		o		o
COC253	IT Project	40	1+2		o		o
COC255	Computer Science and Mathematics Project	40	1+2					x
COC257	AI Project	40	1+2			x

4.4.2 Other Modules:

Code	Title	Weight	Semester	CS	CM	CSAI	ITMB	CSM
COB120	Computer Graphics	10	1		o		o
COB122	Software Engineering 2	10	1					o
COC100	Enterprise Resource Planning Systems	10	1	o	o	o	o	o
COC101	Agent-Based Systems	10	1	o		x		o
COC104	Algorithm Analysis	10	1	o		o		o
COC105	Cloud Computing	10	1	o	o	o	o
COC108	Knowledge based Decision Support	10	1		o		x
COC118	Human-Computer Interaction	10	1	o	o	o	o
COC190	Advanced Networking	10	1	o		o
COC195	Difficult Problems in Computer Science	10	1	o		o		o
COC196	Distributed Systems	10	1	o		o		o
COB155	Mobile Application Development	10	2		o±		o±	o
COB232	Operating Systems, Networks and the Internet 2	10	2		o		o
COC001	Robotics	10	2	o		x		o
COC102	Advanced Artificial Intelligence Systems	10	2	o		x		o
COC131	Data Mining	10	2	o	o	o	o	o
COC140	Cryptography and Network Security	10	2	o	o	o	o	o
COC202	Computer Vision	10	2	o		x		o
COC213	Cyber Security	10	2	o	o	o	o
COC220	Computer Animation	10	2	o	o	o	o	o
BSC063	Decision and Efficiency Analysis	10	1		o		o
BSC105	International Human Resource Management	10	1		o		o
BSC110	Marketing Strategy and Planning	10	1		o		o
BSC520	Business Systems	10	1	o	o	o	o
BSC522	Entrepreneurship and Innovation	10	1	o	o	o	o
BSC565	Fundamentals of Strategic Management	10	1		x		x
BSC067	Simulation of Decision Support	10	2		o		o
BSC072	Strategic Information Management	10	2		o		o
BSC080	Analysing Careers	10	2		o		o
BSC085	The Changing Work Organisation	10	2		o		o
BSC124	Marketing Communications	10	2		o		o
BSC194	Project Management	10	2	o	o	o	o
BSC524	Entrepreneurship and Small Business Planning	10	2	o	o	o	o
BSC575	Leadership and Interpersonal Skills	10	2		x		x
ISC027	Information and Knowledge Management	10	1		o		o
MAB141	Analysis 3	10	1					o
MAB143	Rings and Polynomials	10	1					o
MAB170	Probability Theory	10	1					o
MAB197	Introduction to Differential Geometry	10	1					o
MAB260	Advanced Numerical Methods	10	1					o
MAC147	Number Theory	10	1					o
MAC148	Introduction to Dynamical Systems	10	1					o
MAC175	Operational Research	10	1					o
MAB241	Complex Analysis	10	2					o
MAB250	ODEs and Calculus of Variation	10	2					o
MAB270	Statistical Modelling	10	2					o
MAB298	Elements of Topology	10	2					o
MAC233	Studies in Science and Mathematics Education	10	2	o	o	o	o	o
MAC249	Linear Differential Equations	10	2					o(x)
MAC251	Vibrations and Waves	10	2					o
MAC260	Elliptic Curves	10	2					o
MAC297	Mathematical Biology	10	2					o

(x) See CSM MSci programme specific option restrictions

In exceptional circumstances and at the discretion of the Director of Studies, candidates may be allowed to substitute an alternative 天堂视频 Part C module for any of the above modules.

4.4.3 Option Restrictions for All Programmes

Candidates must not take more than 30 credits of options coded COB or MAB.
Candidates should choose options that, with their compulsory modules, will give 40 credits in each Semester, excluding the project.
Candidates may not take any module at Part C if they have previously taken it at Part B.
Candidates must take note of pre-requisites for each option as some options can only be taken if the candidate has taken a pre-requisite option in an earlier Part or Semester.
Candidates should note that staff availability may mean that it may not be possible to offer some options in any particular year, and that timetabling restrictions may mean that certain combinations of options may not be possible.

4.4.4 Programme Specific Option Restrictions

Programme	Restriction
CS	Students must choose options of value 80 credits.
CMS	Students must choose options of value 60 credits.
CSAI	Students must choose options of value 40 credits.
ITMB	Students must choose options of value 50 credits.
CSM	Options of at least 40 credits must be taken from option lists offered by Mathematics. Additionally for MSci students, MAC249 is a compulsory module for all students.

4.5 Part D

In the tables below X indicates a compulsory module.

Candidates in Part D of a MSci degree programme take the following modules:

Code	Title	Weight	Semester	CSM	Other
BSD523	Enterprise Technology for Computer Scientists	10	1	x	x
MAP111	Mathematical Modelling 1	15	1	x
COD280	Managing a Project Team	10	1+2	x	x
COD290	Thesis Project	60	1+2	x	x
COD292	Group Project	30	1+2		x
COD300	Learning Evaluation in a Specialised Subject	10	1+2	x	x
MAP211	Mathematical Modelling 2	15	2	x

5. Criteria for Progression and Degree Award

In order to progress from Part A to Part B, from Part B to C, from C to D (if applicable) and to be eligible for the award of an Honours degree, candidates must satisfy the minimum credit requirements set out in Regulation XX.

For MSci students in the cohort that started their degree course in or before the academic year 2017/18, in order to progress from Part A to Part B, from Part B to Part C, and from Part C to Part D, candidates must accumulate 120 credits in each of Parts A, B, and C. For MSci students in the cohort that started their degree course in the academic year 2018/19, in order to progress from Part A to Part B, from Part B to Part C, and from Part C to Part D, candidates must accumulate 120 credits and obtain an overall average of 55% in each of Parts A, B, and C. For MSci students in the cohort that started their degree course in or after 2019/20, Regulation XX Para 26.2 applies.

Candidates who, after reassessment, fail the MSci requirements for Parts A or B but who have passed the requirements for the corresponding BSc programme, will automatically be transferred to the corresponding BSc programme. Candidates who fail Parts C or D after reassessment will be considered for a BSc degree at the programme board, in accordance with Section 6 below.

Re-assessment

Provision will be made in accordance with Regulation XX for candidates who have the right of re-assessment in any Part of the Programme to undergo re-assessment in the University's special assessment period or next academic year.

6. Relative Weighting of Parts of the Programme for the Purposes of Final Degree Classification

Candidates' final degree classification will be determined on the basis of their performance in degree level Module Assessments in Parts B and C (and D if applicable). The percentage mark for each Part will be combined in the ratio given below to determine the final percentage mark.

BSc programmes	Part B : Part C	1:3
MSci programmes	Part B : Part C : Part D	14:43:43 (approx 1:3:3)

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Programme Specifications